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Episode 2 -- This is our Mission - BrainChip

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This second episode provides a detailed view of the Company's served markets, success of the Early Access Program, and Intellectual Property licensing. The episode will conclude with an update on the current status of device development and commercial efforts. Subsequent podcasts may include BrainChip management and industry experts.


BrainChip Begins Taking Orders of Akida AI Processor Development Kits

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Akida NSoC and intellectual property enable a wide array of edge AI capabilities that include continuous learning and inference.


BrainChip Joins tinyML Summit 2021 for Ultra-Low Power Edge Machine Learning Technologies

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WIRE)--BrainChip Holdings Ltd (ASX: BRN), a leading provider of ultra-low power high performance artificial intelligence technology, today announced it is sponsoring and presenting at tinyML Summit, a virtual event March 22-26, 2021. TinyML Summit will feature technical progress and ecosystem development within the "tiny" machine learning industry to enable ultra-low power ML in edge applications. Tiny ML is a growing field of ML technologies including hardware (dedicated integrated circuits), algorithms, and software capable of performing on-device data analytics at extremely low power to enable a range of always-on applications, primarily in battery-operated devices. Tiny ML is common in audio, visual, navigational, biometric, and medical devices as well as other commercial and industrial uses. Kristofor Carlson, BrainChip's Manager of Applied Research, will present a talk "It's an SNN future: Are you ready for it?


BrainChip Begins Taking Orders of Akida AI Processor Development Kits

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WIRE)--BrainChip Holdings Ltd (ASX: BRN), (OTCQX: BRCHF), a leading provider of ultra-low power high performance artificial intelligence technology, today announced BrainChip will be taking orders of two development kits for its Akida advanced neural networking processor, enabling partners, large enterprises, and OEMs to begin internal testing and validation of Akida's high-performance, small, ultra-low power AI chip. Akida NSoC and intellectual property enable a wide array of edge AI capabilities that include continuous learning and inference. BrainChip is offering two development kits, both including the AKD1000 chip on a mini-PCI board: an X86 Shuttle PC development kit, as well as an ARM-based Raspberry Pi development kit. "Offering development kits is not only a major step towards full commercialization, it's also an exciting opportunity to see how our partners and future customers will put Akida to work in environments and scenarios like consumer electronics, industrial applications, aerospace and defense systems, healthcare and medical devices, automotive technology, and more," said Anil Mankar, BrainChip co-founder and chief development officer. "We believe the AKD1000 silicon, or the licensing of Akida in a configurable IP format, will lead to major changes in industries using AI at the edge because of its performance, security, low power requirements, and mainly Akida's ability to perform AI training and learning on the device itself, without dependency on the cloud."


BrainChip Begins Taking Orders of Akida AI Processor Development Kits

#artificialintelligence

Akida NSoC and intellectual property enable a wide array of edge AI capabilities that include continuous learning and inference. BrainChip is offering two development kits both including the AKD1000 chip on a mini-PCI board: an X86 Shuttle PC development kit as well as an ARM-based Raspberry Pi development kit. "Offering development kits is not only a major step towards full commercialization, it's also an exciting opportunity to see how our partners and future customers will put Akida to work in environments and scenarios like consumer electronics, industrial applications, aerospace and defense systems, healthcare and medical devices, automotive technology, and more," said Anil Mankar, BrainChip co-founder and chief development officer. "We believe the AKD1000 silicon, or the licensing of Akida in a configurable IP format, will lead to major changes in industries using AI at the edge because of its performance, security, low power requirements, and mainly Akida's ability to perform AI training and learning on the device itself, without dependency on the cloud." Development kits for Akida-based applications and solutions evolving to production status are a step toward joining the neuromorphic revolution for edge AI applications.